Award details

18-BBSRC-NSF/BIO - Structural modeling of interactome to assess phenotypic effects of genetic variation

Reference	BB/T010487/1
Principal Investigator / Supervisor	Professor Michael Sternberg
Co-Investigators / Co-Supervisors
Institution	Imperial College London
Department	Life Sciences
Funding type	Research
Value (£)	499,841
Status	Completed
Type	Research Grant
Start date	01/03/2020
End date	28/02/2023
Duration	36 months

Abstract

This project is a collaboration between the groups of Prof Sternberg at Imperial College London and Prof Vakser at the University of Kansas, US. We will continue development of an integrated approach to high-throughput modelling of proteins and their complexes and the mapping of SAVs as currently available in our version 1 GWYRE web resource (www.gwyre.org). Specifically we will: *DEVELOP ADVANCED METHODOLOGY FOR HIGH-THROUGHPUT MODELLING OF INDIVIDUAL PROTEINS. The Phyre structure prediction server (> 90,000 users worldwide p.a.) predicts protein structure using sequence-based fold detection of remote homology. We will enhance Phyre by considering specific protein family templates for more accurate identification of optimum templates. *DEVELOP HIGH-THROUGHPUT STRUCTURE-BASED METHODS TO PREDICT INTERACTIONS OF EXPERIMENTALLY DETERMINED AND MODELLED PROTEINS. We will further develop approaches for modelling the structures of protein-protein complexes, based on the similarity to experimentally determined protein-protein complexes (templates). Comprehensive benchmark sets of interacting and non-interacting modelled proteins will be generated based on the datasets of experimentally determined protein complexes. *GENERATE A GENOME-WIDE DATABASE OF PROTEIN STRUCTURES AND PROTEIN-PROTEIN COMPLEXES FOR MODEL ORGANISMS. We will further develop our pipeline to integrate protein structure prediction with the prediction of protein-protein complexes and link servers in the two groups for use by the community. We will generate a database of structurally refined protein complexes for model eukaryotic and prokaryotic organisms. The results will be disseminated via the GWYRE database. *ASSESS THE PHENOTYPIC EFFECTS OF GENETIC VARIATION. Our pipeline (Missense3D) will be further developed for users to map amino acid variants onto the structures and complexes in GWYRE and to use structure-based approaches to predict phenotypic effects.

Summary

This grant supports further collaboration between the groups of Prof Sternberg at Imperial College London and Prof Vakser at the University of Kansas, US. Today the sequences of genomes can be determined rapidly and from the gene sequences one obtains the sequence of proteins, which are central to biological function. Accordingly, a grand challenge for biology is to maximize the fundamental biological insights that can be obtained from determination of these protein sequences. In addition, genetic mutation often leads to minor differences in the gene sequence which result in the change of a single part of the protein sequence. These are known as single amino acid variants (SAVs). A vast amount of information on SAVs is available from a wide-range of organisms ranging from human through to bacteria. SAVs can either result in altered biological activity or may have no discernible effect. Understanding and predicting the effect of SAVs is central to many areas of biological research. Knowledge of the three-dimensional structure of proteins and their interactions with partner proteins (known as complexes) is therefore essential for understanding the mode of action of proteins and the interpretation of the effects of genetic variation. Under our previous collaboration the two groups developed the first version of a web-based resource called GWYRE (www.gwyre.org). This is a database of predicted 3D structures and complexes for biologically important organisms. The aim of the proposed research is to enhance the development of the GWYRE resource. To do this we will: (i) develop advanced methodology for high-throughput modelling of individual proteins (ii) develop high-throughput structure-based methods to predict interactions of experimentally determined and modelled proteins (iii) integrate (i) and (ii) to generate models for complexes (iv) develop enhanced computer algorithms to assess the effect of SAVs on structures and complexes (v) disseminate the GWYRE portal via publications, conference presentations, and the provision of training workshops (vi) engage in public outreach.

Impact Summary

This project is a collaboration between Prof Sternberg's at Imperial College and Prof Vakser's group in Kansas (USA). We will continue with development of the GWYRE resource (www.gwyre.org) which integrates predicted tertiary structures (from Imperial) and complexes for model organisms (from Kansas). In addition a structure-based assessment of the effect of genetic variation will be established upon which genetic variants will be mapped and their phenotypic effect assessed (from Imperial). We will now identify those groups that will benefit from this research and in what way they will benefit. COMMERCIAL USERS - The commercial users of this resources developed under this grant will span diverse researchers in bioscience who require information about protein structure, interactions, function and the effect of genetic variation. Feedback from users has shown that these predictions can have a transformative effect on their research moving their conceptualisation into detailed consideration of the molecule at the three-dimensional atomic level. There are numerous application areas. One major application area is the identification of novel targets for pharmaceutical intervention. Structure guides both the design of small molecules and bio-therapeutics, such as monoclonal antibodies. The consequence of the design of novel pharmaceuticals has clear health and commercial benefit. A second application area is the agricultural sector. Similar considerations apply to animal health as for the pharmaceutical industry. In addition, genome information can be helpful in selective breeding of crops and fruit. The biotechnology and bio-energy sectors can focus on the modification of biological pathways and information about the structure and function of genes can inform these studies. PUBLIC SECTOR - Agencies involved in public health and food security are expected to use the resources. For example, the location of a mutation on the surface of a human, animal or plant pathogen could be mapped to provide insight into structure/function relationships. This will impact on health and well-being. TRAINING - Phyre is widely used in undergraduate and postgraduate teaching and thus extending the training of the next generation of bioscientists in data driven biology. POLICY MAKERS AND THE GENERAL PUBLIC - Via open days at Imperial College, members of the public will see demonstrations of protein modelling. This will highlight an area of research - bioinformatics - of which they may not have been aware. Furthermore, this will demonstrate the collaborative nature of scientific research with its implications of value for money. In particular the Imperial Festival is an annual event that attracted over 20,000 visitors in 2018. From the policy side, Imperial invites to the Festival representatives from professional membership bodies, local and central government, higher education bodies including other university senior staff, and research funders. We will continue to give invited lectures to groups other than researchers. SCHOOLS - In talks to schools by the PI, the Phyre server is described as a web-based resource for use by the community. This always has a major impact on the audience. Students are impressed by the Phyre usage figure - over 3 million hits - which is placed in the perspective of popular YouTube clips shown on TV programmes that often have fewer hits.

Committee	Not funded via Committee
Research Topics	Microbiology, Structural Biology, Systems Biology, Technology and Methods Development
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

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